Objective Information Theory / / by Jianfeng Xu, Shuliang Wang, Zhenyu Liu, Yashi Wang, Yingfei Wang, Yingxu Dang.
Objective Information Theory (OIT) is proposed to represent and compute the information in a large-scale complex information system with big data in this monograph. To formally analyze, design, develop, and evaluate the information, OIT interprets the information from essential nature, measures the...
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| Superior document: | SpringerBriefs in Computer Science, |
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| VerfasserIn: | |
| Place / Publishing House: | Singapore : : Springer Nature Singapore :, Imprint: Springer,, 2023. |
| Year of Publication: | 2023 |
| Edition: | 1st ed. 2023. |
| Language: | English |
| Series: | SpringerBriefs in Computer Science,
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| Physical Description: | 1 online resource (XI, 97 p. 1 illus.) |
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| Summary: | Objective Information Theory (OIT) is proposed to represent and compute the information in a large-scale complex information system with big data in this monograph. To formally analyze, design, develop, and evaluate the information, OIT interprets the information from essential nature, measures the information from mathematical properties, and models the information from concept, logic, and physic. As the exemplified applications, Air Traffic Control System (ATCS) and Smart Court SoSs (System of Systems) are introduced for practical OITs. This Open Access book can be used as a technical reference book in the field of information science and also a reference textbook for senior students and graduate ones in related majors. |
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| ISBN: | 9811999295 |
| ISSN: | 2191-5776 |
| Access: | Open Access |
| Hierarchical level: | Monograph |
| Statement of Responsibility: | by Jianfeng Xu, Shuliang Wang, Zhenyu Liu, Yashi Wang, Yingfei Wang, Yingxu Dang. |